It is with great sadness that the MGMS announces the passing of Prof. Anton “Tony” Hopfinger. He was a pioneer in the field of molecular modeling and cheminformatics, particularly known for Quantitative Structure-Activity Relationships (QSAR) and Quantitative Structure-Property Relationships (QSPR).

David will be giving this year’s MGMS Lecture Tour in November 2018, so stay tuned for details of where and when. He will be also demonstrating his VR and AR work, so you’ll hopefully have a chance to try it out. You can read more here:

We are pleased to offer our congratulations to honorary and founder member of the MGMS, Professor W. Graham Richards who will receive the 2018 Richard J. Bolte Sr. Award for Supporting Industries on Heritage Day on May 9, 2018.

Prof. Richards was a pioneer of the field, being part of the first generation of researchers to use computers as part of chemical research, particularly in the context of pharmaceuticals. He had a long and distinguished career at the University of Oxford, including a stint as Chairman and confounded its first spin-off – Oxford Molecular. He also helped set up the University’s technology transfer company, Oxford University Innovation. He was one of the first to harness computer idle time to search for compounds that might be used to treat cancer and anthrax. In 2001 he founded Oxford Drug Design (formerly InhibOx) and continues to serve as Chairman.

It is with great sadness that the MGMS has learned of the death of Dr Frank Blaney on Saturday 14th April 2018.

Frank was a founding member of the MGMS and remained intimately connected to it ever since. He served as Chair of the MGMS and was also responsible for the organisation of many successful conferences throughout his life. He was a long-standing member of the computational chemistry community and had a particularly strong interest in membrane proteins including GPCRs, ion channels and transporters. He also had an interest in using QM methods to understand cytochrome P450s. Following a long career at GSK, his interest and substantial expertise in GPCRs led to his becoming a consultant, working closely with Heptares Therapeutics. He was a fount of knowledge for computational chemistry and was a strong advocate for its use where he knew it could provide something useful for drug discovery.

He will be sorely missed by the entire computational chemistry community.

Phil Biggin, Chair of the MGMS.

Upcoming Meetings

A fundamental feature of biological systems is the scale and complexity of the underlying networks. To understand this biocomplexity it will require the adoption of novel tools and concepts from computer science that allow the construction and analysis of models using techniques derived from the field of formal verification.

This meeting will bring together systems biologists and computer scientists from a wide range of fields to discuss how to apply and develop these new approaches.

Registration and abstract submission are both now open through the above link.

10th MGMS Silver Jubilee Award, 2017

The MGMS is delighted to award the 10th Silver Jubilee Prize to Dr David Glowacki. Dr Glowacki graduated from the University of Pennsylvania in 2003, but then moved to the UK, obtaining an MA from Manchester University in 2004 and a PhD in Physical Chemistry from the University of Leeds in 2008. He currently holds a Royal Society Research Fellowship at the University of Bristol and is a visiting scholar at Stanford University. Dr Glowacki’s work embraces both the sciences and the arts, exploring the interface between the two in terms of human perception; he has published in the fields of dynamics and non-equilibrium system simulations, but also scientific visualisation and digital aesthetics. The award recognises his ongoing, interdisciplinary work.

Prof. Dave Winkler, Monash Institute of Pharmaceutical Sciences (MIPS), Universities of Latrobe and Monash, Australia, has been selected to receive the 2017 Herman Skolnik Award, for his seminal contributions to chemical information in the development of optimally sparse, robust machine learning methods for QSAR and in leading the application of cheminformatics methods to biomaterials, nanomaterials, and regenerative medicine. The award recognizes outstanding contributions to and achievements in the theory and practice of chemical information science and related disciplines.